This track explores the powerful intersection of artificial intelligence and human biology, beginning with a focus on biohacking and body metrics through non-invasive sensors, sleep architecture, heart-rate variability, and physical performance logs.
It then shifts to examining AI in diagnostics and augmentation, highlighting machine learning in modern medicine, smart prosthetics, and predictive health logic.
We are leading the AI revolution
Our technology will take on the intricate, often grueling work the world actually runs on, not the rigid, perfectly predictable motions that classical automation has already solved. By focusing on skills that require more reasoning, variability, and dexterity, ai with biology can finally help with tasks that have always depended on human hands.
Our aim is to make the world safer, more efficient, and more globally level by augmenting human capability.
Intelligence on the factory floor
Pick and place
Locating, grasping, and placing objects that vary in angle, occlusion, and orientation, with high precision.
Sorting
Making a real-time call on visually similar items and routing each one correctly, under line speed pressure.
Fastening
Joining parts that don't always align, modulating force and sequence to seat them correctly, and recovering when they don't.
Connectors
Achieving a secure, verified fit despite flexible harnesses, part variation, and tight tolerances.
The work wealways imagined machines could do
Our technology will take on the intricate, often grueling work the world actually runs on, not the rigid, perfectly predictable motions that classical automation has already solved. By focusing on skills that require more reasoning, variability, and dexterity, ai with biology can finally help with tasks that have always depended on human hands.
Our aim is to make the world safer, more efficient, and more globally level by augmenting human capability.
What you build on the bench today changes how the world will run tomorrow.
We believe that being hands on with hardware can solve the hardest problems in AI.
Register now if you value ownership, humility, and want to move beyond digital intelligence to put code into motion.
- Research and modeling
- ML infrastructure
- Hardware
- Engineering and design
- Data
- Robotics software
- Application Engineer